There are several public data sets for document binarization, such as (H-)DIBCO data sets which are used for document binarization competition.
Similar as [1]}, we select images on DIBCO 2009 [2]}, H-DIBCO 2010 [3]} and H-DIBCO 2012 [4]} for training.
The training set also includes documents on the Bickely-diary dataset [5]}, PHIDB [6]} and the Synchromedia Multispectral dataset [7]}.
The documents on DIBCO 2011 [8]},DIBCO 2013 [9]}, H-DIBCO 2014 [10]} and H-DIBCO 2016 [11]} are selected for evaluation.
Four evaluation metrics which are used in the (H-)DIBCO contests, are adopted in this section for quantitatively evaluation and comparison, including F-measure, pseudo F-measure (\(F_{ps}\) ), distance reciprocal distortion metric (DRD) and the peak signal-to-noise ratio (PSNR).
